The Engineering Manager will lead a team of ML engineers focused on building systems for secure data processing and personalization across various platforms. This role emphasizes the importance of user privacy while delivering hyper-personalized experiences. The manager will navigate the complexities of data engineering, machine learning systems, and privacy compliance. The team will develop high-performance stacks that transform raw data into actionable intelligence.

• BS or MS in Computer Science, Engineering, or a related field.
• Proven track record of managing and scaling engineering teams focused on data platforms, machine learning systems, or large-scale backend stacks.
• Deep architectural understanding of distributed data processing, high-throughput backend engineering, and ML training environments.
• Demonstrated ability to lead complex, cross-functional projects from conception to production at massive scale.
• Experience defining technical roadmaps and balancing short-term product needs with long-term architectural health.
• Experience leading teams that build systems bridging cloud stacks with on-device or edge compute environments.
• Familiarity with the lifecycle of machine learning models, feature stores, vector search, and dense embeddings.
• Experience implementing feature stores, data catalogs, and automated compliance systems in heavily regulated environments.
• Passion for privacy and an understanding of Privacy-Enhancing Technologies, secure enclaves, or decentralized data strategies.

• Lead a team of ML engineers in building systems for secure data processing and personalization.
• Guide the development of high-performance stacks that transform raw data into governed intelligence.
• Navigate the intersection of data engineering, machine learning systems, and privacy compliance.
• Ensure the team delivers the foundational data layer for intelligent experiences.
• Collaborate with product and research teams to empower hyper-personalized experiences.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.